{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,21]],"date-time":"2026-04-21T12:42:02Z","timestamp":1776775322198,"version":"3.51.2"},"reference-count":60,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100013068","name":"Key Technologies Research and Development Program of Guangzhou Municipality","doi-asserted-by":"publisher","award":["202206030003"],"award-info":[{"award-number":["202206030003"]}],"id":[{"id":"10.13039\/501100013068","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62306224"],"award-info":[{"award-number":["62306224"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62471371"],"award-info":[{"award-number":["62471371"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["YJSJ25014"],"award-info":[{"award-number":["YJSJ25014"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Neurocomputing"],"published-print":{"date-parts":[[2026,6]]},"DOI":"10.1016\/j.neucom.2026.133537","type":"journal-article","created":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T07:00:00Z","timestamp":1775026800000},"page":"133537","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Core-periphery structure preserved embedding for dynamic attributed networks with memory fusion"],"prefix":"10.1016","volume":"683","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5964-0123","authenticated-orcid":false,"given":"Xiangyi","family":"Teng","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-7073-5902","authenticated-orcid":false,"given":"Zhiluohan","family":"Guo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jing","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"78","reference":[{"key":"10.1016\/j.neucom.2026.133537_bib0005","series-title":"Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining","first-page":"2023","article-title":"Characterizing and forecasting user engagement with in-app action graph: a case study of snapchat","author":"Liu","year":"2019"},{"key":"10.1016\/j.neucom.2026.133537_bib0010","series-title":"Proceedings of the AAAI Conference on Artificial Intelligence","first-page":"232","article-title":"Who you would like to share with? A study of share recommendation in social e-commerce","volume":"vol. 35","author":"Ji","year":"2021"},{"issue":"9","key":"10.1016\/j.neucom.2026.133537_bib0015","doi-asserted-by":"crossref","first-page":"3848","DOI":"10.1109\/TITS.2019.2935152","article-title":"T-gcn: a temporal graph convolutional network for traffic prediction","volume":"21","author":"Zhao","year":"2019","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"10.1016\/j.neucom.2026.133537_bib0020","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2023.111308","article-title":"Learning dynamic embeddings for temporal attributed networks","volume":"286","author":"Luodi","year":"2024","journal-title":"Knowl.-Based Syst."},{"key":"10.1016\/j.neucom.2026.133537_bib0025","series-title":"2018 IEEE International Conference on Big Data (Big Data)","first-page":"1085","article-title":"Dynamic network embeddings: from random walks to temporal random walks","author":"Nguyen","year":"2018"},{"key":"10.1016\/j.neucom.2026.133537_bib0030","author":"Zaremba"},{"issue":"11","key":"10.1016\/j.neucom.2026.133537_bib0035","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0143133","article-title":"Unifying inference of meso-scale structures in networks","volume":"10","author":"Tun\u00e7","year":"2015","journal-title":"PloS One"},{"key":"10.1016\/j.neucom.2026.133537_bib0040","doi-asserted-by":"crossref","first-page":"22","DOI":"10.1016\/j.ins.2020.01.027","article-title":"Community-aware dynamic network embedding by using deep autoencoder","volume":"519","author":"Ma","year":"2020","journal-title":"Inf. Sci."},{"issue":"4","key":"10.1016\/j.neucom.2026.133537_bib0045","doi-asserted-by":"crossref","first-page":"375","DOI":"10.1016\/S0378-8733(99)00019-2","article-title":"Models of core\/periphery structures","volume":"21","author":"Borgatti","year":"2000","journal-title":"Soc. Netw."},{"issue":"3","key":"10.1016\/j.neucom.2026.133537_bib0050","doi-asserted-by":"crossref","first-page":"619","DOI":"10.1137\/17M1130046","article-title":"Core-periphery structure in networks (revisited)","volume":"59","author":"Rombach","year":"2017","journal-title":"SIAM Review"},{"key":"10.1016\/j.neucom.2026.133537_bib0055","series-title":"Proceedings of the 3rd International Workshop on Link Discovery","first-page":"36","article-title":"The political blogosphere and the 2004 us election: divided they blog","author":"Adamic","year":"2005"},{"issue":"9","key":"10.1016\/j.neucom.2026.133537_bib0060","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pcbi.1003171","article-title":"Task-based core-periphery organization of human brain dynamics","volume":"9","author":"Bassett","year":"2013","journal-title":"PLoS Comput. Biol."},{"issue":"3","key":"10.1016\/j.neucom.2026.133537_bib0065","doi-asserted-by":"crossref","first-page":"1087","DOI":"10.1093\/cercor\/bhz150","article-title":"Unifying the notions of modularity and core-periphery structure in functional brain networks during youth","volume":"30","author":"Gu","year":"2020","journal-title":"Cereb. Cortex"},{"issue":"1","key":"10.1016\/j.neucom.2026.133537_bib0070","doi-asserted-by":"crossref","first-page":"138","DOI":"10.1109\/TCYB.2019.2931983","article-title":"Overlapping community detection in directed and undirected attributed networks using a multiobjective evolutionary algorithm","volume":"51","author":"Teng","year":"2021","journal-title":"IEEE Trans. Cybern."},{"issue":"3","key":"10.1016\/j.neucom.2026.133537_bib0075","doi-asserted-by":"crossref","first-page":"483","DOI":"10.1086\/261763","article-title":"Increasing returns and economic geography","volume":"99","author":"Krugman","year":"1991","journal-title":"J. Polit. Econ."},{"issue":"2","key":"10.1016\/j.neucom.2026.133537_bib0080","first-page":"93","article-title":"Structure and dynamics of core\/periphery networks","volume":"1","author":"Rombach","year":"2017","journal-title":"J. Complex Netw."},{"issue":"11","key":"10.1016\/j.neucom.2026.133537_bib0085","article-title":"A clarified typology of core-periphery structure in networks","volume":"7","author":"Cucuringu","year":"2021","journal-title":"Sci. Adv."},{"issue":"5","key":"10.1016\/j.neucom.2026.133537_bib0090","doi-asserted-by":"crossref","DOI":"10.1103\/PhysRevE.96.052313","article-title":"Finding multiple core-periphery pairs in networks","volume":"96","author":"Kojaku","year":"2017","journal-title":"Phys. Rev. E"},{"issue":"3","key":"10.1016\/j.neucom.2026.133537_bib0095","doi-asserted-by":"crossref","DOI":"10.1103\/PhysRevE.91.032803","article-title":"Identification of core-periphery structure in networks","volume":"91","author":"Zhang","year":"2015","journal-title":"Phys. Rev. E"},{"issue":"6","key":"10.1016\/j.neucom.2026.133537_bib0100","doi-asserted-by":"crossref","first-page":"411","DOI":"10.1002\/asi.4630360611","article-title":"Structural equivalence in a psychology journal network","volume":"36","author":"Doreian","year":"1985","journal-title":"J. Am. Soc. Inf. Sci."},{"issue":"5837","key":"10.1016\/j.neucom.2026.133537_bib0105","doi-asserted-by":"crossref","first-page":"482","DOI":"10.1126\/science.1144581","article-title":"The product space conditions the development of nations","volume":"317","author":"Hidalgo","year":"2007","journal-title":"Science"},{"issue":"1","key":"10.1016\/j.neucom.2026.133537_bib0110","doi-asserted-by":"crossref","first-page":"70","DOI":"10.1017\/nws.2018.27","article-title":"Multicores-periphery structure in networks","volume":"7","author":"Yan","year":"2019","journal-title":"Network Sci."},{"key":"10.1016\/j.neucom.2026.133537_bib0115","doi-asserted-by":"crossref","DOI":"10.1016\/j.physa.2021.126224","article-title":"Finding core-periphery structures in large networks","volume":"581","author":"Shen","year":"2021","journal-title":"Physica A: Stat. Mech. Appl."},{"key":"10.1016\/j.neucom.2026.133537_bib0120","doi-asserted-by":"crossref","first-page":"175","DOI":"10.1007\/s42486-019-00016-z","article-title":"Recent advance on detecting core-periphery structure: a survey","volume":"1","author":"Tang","year":"2019","journal-title":"CCF Trans. Pervasive Comput. Interact."},{"key":"10.1016\/j.neucom.2026.133537_bib0125","series-title":"Companion Proceedings of the the Web Conference 2018","first-page":"969","article-title":"Continuous-time dynamic network embeddings","author":"Nguyen","year":"2018"},{"key":"10.1016\/j.neucom.2026.133537_bib0130","series-title":"Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining","first-page":"2857","article-title":"Embedding temporal network via neighborhood formation","author":"Zuo","year":"2018"},{"key":"10.1016\/j.neucom.2026.133537_bib0135","series-title":"Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining","first-page":"2672","article-title":"Netwalk: a flexible deep embedding approach for anomaly detection in dynamic networks","author":"Yu","year":"2018"},{"key":"10.1016\/j.neucom.2026.133537_bib0140","series-title":"International Conference on Learning Representations","article-title":"Dyrep: learning representations over dynamic graphs","author":"Trivedi","year":"2019"},{"key":"10.1016\/j.neucom.2026.133537_bib0145","author":"Rossi"},{"key":"10.1016\/j.neucom.2026.133537_bib0150","author":"Xu"},{"key":"10.1016\/j.neucom.2026.133537_bib0155","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2019.06.024","article-title":"Dyngraph2vec: capturing network dynamics using dynamic graph representation learning","volume":"187","author":"Goyal","year":"2020","journal-title":"Knowl.-Based Syst."},{"key":"10.1016\/j.neucom.2026.133537_bib0160","series-title":"Proceedings of the 2017 ACM on Conference on Information and Knowledge Management","first-page":"387","article-title":"Attributed network embedding for learning in a dynamic environment","author":"Li","year":"2017"},{"key":"10.1016\/j.neucom.2026.133537_bib0165","series-title":"Proceedings of the AAAI Conference on Artificial Intelligence","article-title":"Timers: error-bounded SVD restart on dynamic networks","volume":"vol. 32","author":"Zhang","year":"2018"},{"key":"10.1016\/j.neucom.2026.133537_bib0170","author":"Goyal"},{"key":"10.1016\/j.neucom.2026.133537_bib0175","author":"Kipf"},{"key":"10.1016\/j.neucom.2026.133537_bib0180","article-title":"Attention is all you need","volume":"30","author":"Vaswani","year":"2017","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"10.1016\/j.neucom.2026.133537_bib0185","series-title":"Advances in Neural Information Processing Systems","article-title":"Variational graph recurrent neural networks","volume":"vol. 32","author":"Hajiramezanali","year":"2019"},{"key":"10.1016\/j.neucom.2026.133537_bib0190","series-title":"Proceedings of the 13th International Conference on Web Search and Data Mining","first-page":"519","article-title":"Dysat: deep neural representation learning on dynamic graphs via self-attention networks","author":"Sankar","year":"2020"},{"key":"10.1016\/j.neucom.2026.133537_bib0195","series-title":"Proceedings of the AAAI Conference on Artificial Intelligence","first-page":"5363","article-title":"Evolvegcn: evolving graph convolutional networks for dynamic graphs","volume":"vol. 34","author":"Pareja","year":"2020"},{"issue":"10","key":"10.1016\/j.neucom.2026.133537_bib0200","doi-asserted-by":"crossref","first-page":"4826","DOI":"10.1109\/TKDE.2020.3046511","article-title":"Glodyne: global topology preserving dynamic network embedding","volume":"34","author":"Hou","year":"2020","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"10.1016\/j.neucom.2026.133537_bib0205","author":"Wang"},{"key":"10.1016\/j.neucom.2026.133537_bib0210","series-title":"Proceedings of the Web Conference 2021","first-page":"1629","article-title":"Motif-preserving dynamic attributed network embedding","author":"Liu","year":"2021"},{"key":"10.1016\/j.neucom.2026.133537_bib0215","series-title":"Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining","first-page":"1975","article-title":"Discrete-time temporal network embedding via implicit hierarchical learning in hyperbolic space","author":"Yang","year":"2021"},{"key":"10.1016\/j.neucom.2026.133537_bib0220","series-title":"Proceedings of the 28th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","first-page":"2358","article-title":"Roland: graph learning framework for dynamic graphs","author":"You","year":"2022"},{"key":"10.1016\/j.neucom.2026.133537_bib0225","doi-asserted-by":"crossref","DOI":"10.1016\/j.ymssp.2025.112762","article-title":"Adaptive expert ensembles for fault diagnosis: a graph causal framework addressing distributional shifts","volume":"234","author":"Li","year":"2025","journal-title":"Mech. Syst. Signal Process."},{"issue":"1","key":"10.1016\/j.neucom.2026.133537_bib0230","first-page":"531","article-title":"Energy-propagation graph neural networks for enhanced out-of-distribution fault analysis in intelligent construction machinery systems","volume":"12","author":"Li","year":"2025","journal-title":"IEEE Internet Things J."},{"issue":"4","key":"10.1016\/j.neucom.2026.133537_bib0235","doi-asserted-by":"crossref","DOI":"10.1088\/1367-2630\/aab547","article-title":"Core-periphery structure requires something else in the network","volume":"20","author":"Kojaku","year":"2018","journal-title":"New J. Phys."},{"issue":"2","key":"10.1016\/j.neucom.2026.133537_bib0240","doi-asserted-by":"crossref","first-page":"167","DOI":"10.1137\/S003614450342480","article-title":"The structure and function of complex networks","volume":"45","author":"Newman","year":"2003","journal-title":"SIAM Rev."},{"issue":"2","key":"10.1016\/j.neucom.2026.133537_bib0245","doi-asserted-by":"crossref","first-page":"315","DOI":"10.1137\/16M1087175","article-title":"Configuring random graph models with fixed degree sequences","volume":"60","author":"Fosdick","year":"2018","journal-title":"SIAM Rev."},{"key":"10.1016\/j.neucom.2026.133537_bib0250","series-title":"International Conference on Machine Learning","first-page":"6861","article-title":"Simplifying graph convolutional networks","author":"Wu","year":"2019"},{"key":"10.1016\/j.neucom.2026.133537_bib0255","series-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition","first-page":"770","article-title":"Deep residual learning for image recognition","author":"He","year":"2016"},{"issue":"2","key":"10.1016\/j.neucom.2026.133537_bib0260","doi-asserted-by":"crossref","DOI":"10.1103\/PhysRevE.69.026113","article-title":"Finding and evaluating community structure in networks","volume":"69","author":"Newman","year":"2004","journal-title":"Phys. Rev. E"},{"key":"10.1016\/j.neucom.2026.133537_bib0265","series-title":"Proceedings of the AAAI Conference on Artificial Intelligence","article-title":"The network data repository with interactive graph analytics and visualization","volume":"vol. 29","author":"Rossi","year":"2015"},{"issue":"5","key":"10.1016\/j.neucom.2026.133537_bib0270","doi-asserted-by":"crossref","first-page":"911","DOI":"10.1002\/asi.21015","article-title":"Patterns and dynamics of users\u2019 behavior and interaction: network analysis of an online community","volume":"60","author":"Panzarasa","year":"2009","journal-title":"J. Am. Soc. Inf. Sci. Technol."},{"key":"10.1016\/j.neucom.2026.133537_bib0275","series-title":"Proceedings of the 32nd ACM International Conference on Information and Knowledge Management","first-page":"68","article-title":"Graphert\u2013transformers-based temporal dynamic graph embedding","author":"Beladev","year":"2023"},{"key":"10.1016\/j.neucom.2026.133537_bib0280","doi-asserted-by":"crossref","first-page":"127","DOI":"10.1023\/A:1009953814988","article-title":"Automating the construction of internet portals with machine learning","volume":"3","author":"McCallum","year":"2000","journal-title":"Inf. Retr."},{"key":"10.1016\/j.neucom.2026.133537_bib0285","series-title":"Proceedings of the 29th ACM International Conference on Information & Knowledge Management","first-page":"1515","article-title":"Streaming graph neural networks via continual learning","author":"Wang","year":"2020"},{"key":"10.1016\/j.neucom.2026.133537_bib0290","series-title":"Neural Information Processing: 25th International Conference, ICONIP 2018, Siem Reap, Cambodia, December 13\u201316, 2018, Proceedings, Part I 25","first-page":"362","article-title":"Structured sequence modeling with graph convolutional recurrent networks","author":"Seo","year":"2018"},{"key":"10.1016\/j.neucom.2026.133537_bib0295","doi-asserted-by":"crossref","first-page":"155","DOI":"10.1016\/j.neucom.2023.01.039","article-title":"Hyperdne: enhanced hypergraph neural network for dynamic network embedding","volume":"527","author":"Huang","year":"2023","journal-title":"Neurocomputing"},{"key":"10.1016\/j.neucom.2026.133537_bib0300","first-page":"1","article-title":"Segode: a structure-enhanced graph neural ordinary differential equation network model for temporal link prediction","author":"Fu","year":"2024","journal-title":"Knowl. Inf. Syst."}],"container-title":["Neurocomputing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0925231226009343?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0925231226009343?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,4,21]],"date-time":"2026-04-21T11:48:11Z","timestamp":1776772091000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0925231226009343"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,6]]},"references-count":60,"alternative-id":["S0925231226009343"],"URL":"https:\/\/doi.org\/10.1016\/j.neucom.2026.133537","relation":{},"ISSN":["0925-2312"],"issn-type":[{"value":"0925-2312","type":"print"}],"subject":[],"published":{"date-parts":[[2026,6]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Core-periphery structure preserved embedding for dynamic attributed networks with memory fusion","name":"articletitle","label":"Article Title"},{"value":"Neurocomputing","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.neucom.2026.133537","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"133537"}}